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Business Intelligence · head to head

Logi Analytics vs OpenSearch

Logi Analytics logo

Logi Analytics

Business Intelligence

Embedded analytics for developers

From
$800/month
Rated
-
Full reviewWebsite
OpenSearch logo

OpenSearch

Databases

Open-source search and analytics suite forked from Elasticsearch

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only OpenSearch has a free tier, so it costs nothing to try first.
  • Each has a real cost: Logi Analytics no pricing information published on website; quote-based model requires completing request form; OpenSearch diverged from Elasticsearch since 7.10, so clients, plugins and features no longer map one to one
  • They diverge on capability: Logi Analytics covers Low-code Embedding, OpenSearch covers Full-text search.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Logi Analytics and OpenSearch actually diverge.

Attributes where Logi Analytics and OpenSearch differ
AttributeLogi AnalyticsOpenSearch
Starting price$800/monthFree
Pricing modelsubscriptionOpen source, no licence fee; managed services billed separately
Free tierNoYes
PlatformsWebLinux, Docker, Kubernetes, Self-hosted
CategoryBusiness IntelligenceDatabases
Founded2003Unknown

Identical on both: user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Logi Analytics

  • Low-code Embedding
  • Self-service Analytics
  • Data Connectors
  • Custom Branding
  • Multi-tenancy
  • SQL Server
  • PostgreSQL
  • MySQL

Only in OpenSearch

  • Full-text search
  • OpenSearch Dashboards
  • Log analytics
  • Vector search

What people use each for

The jobs each tool is most often brought in to do.

Logi Analytics

  • Embedded analytics and data visualization for software applicationsnot OpenSearch
  • Custom business intelligence application development with low-code platformnot OpenSearch

OpenSearch

  • Log and observability storage where an Apache-2.0 licence is a requirementnot Logi Analytics
  • Replacing Elasticsearch after the licence change without changing architecturenot Logi Analytics
  • Search plus analytics on one cluster rather than two systemsnot Logi Analytics

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Logi Analytics

  • No pricing information published on website; quote-based model requires completing request form

OpenSearch

  • Diverged from Elasticsearch since 7.10, so clients, plugins and features no longer map one to one
  • Operationally heavy in the way Elasticsearch is: cluster sizing, shard strategy and JVM tuning are ongoing work
  • Smaller ecosystem of third-party tooling than Elasticsearch, which most integrations still target first
  • Overkill for plain application search, where a dedicated search engine is far simpler

Pricing, plan by plan

Logi Analytics

$800/month
  • Team$800/month
    • Embedded Dashboards
    • Self-service
    • APIs
  • EnterpriseFree
    • Full Platform
    • Multi-tenant
    • Custom Development

OpenSearch

Free
  • OpenSearchFree
    • Full functionality
    • Self-hosted
    • No usage limits

Which should you pick?

Choose Logi Analytics if

  • You need low-code embedding.
  • You also want self-service analytics.
Logi Analytics review

Choose OpenSearch if

  • You need full-text search.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Self-hosted.
  • You also want opensearch dashboards.
OpenSearch review

Questions people ask

Is Logi Analytics or OpenSearch better?
Neither clearly leads. Logi Analytics starts at $800/month and OpenSearch at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Logi Analytics or OpenSearch?
OpenSearch has a free tier; the other does not. Paid plans start at $800/month for Logi Analytics and Free for OpenSearch.
Does Logi Analytics or OpenSearch run on more platforms?
Logi Analytics runs on Web. OpenSearch runs on Linux, Docker, Kubernetes, Self-hosted.
Can I use OpenSearch for free?
Yes. OpenSearch has a free tier, so you can try it without paying. Logi Analytics starts at $800/month.
What is Logi Analytics best used for?
Logi Analytics is most often used for embedded analytics and data visualization for software applications, custom business intelligence application development with low-code platform. Of those, embedded analytics and data visualization for software applications and custom business intelligence application development with low-code platform are not what OpenSearch is typically brought in for.
What can Logi Analytics do that OpenSearch cannot?
Logi Analytics covers Low-code Embedding, Self-service Analytics, Data Connectors, Custom Branding. OpenSearch covers Full-text search, OpenSearch Dashboards, Log analytics, Vector search.

Answered from the vendors’ own pages

Logi Analytics: How much does Logi Analytics cost?

Logi Analytics does not publish pricing on its website. The platform uses a quote-based pricing model where prospective customers must fill out a request form on their website to speak with a sales expert about customized pricing based on their specific needs.

Source
OpenSearch: Is OpenSearch free?

Yes, Apache 2.0 licensed under the Linux Foundation. Amazon OpenSearch Service is a paid managed option.

Logi Analytics: What Logi Analytics products are available?

Logi Analytics offers four main products: Logi Composer for customizable dashboards, Logi Report for pixel-perfect reporting, Logi Info as a full SaaS analytics application, and Logi Symphony as a comprehensive analytics suite.

Source
OpenSearch: Why does OpenSearch exist?

Elastic moved Elasticsearch off the Apache 2.0 licence in 2021. AWS forked the last Apache-licensed version, and the project now sits under the Linux Foundation.

OpenSearch: Is OpenSearch compatible with Elasticsearch?

It was at the 7.10 fork point. Both have developed independently since, so compatibility weakens with every release and should be verified for the features you use.

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